Applied Scientist II, Intelligent Talent Acquisition - Lead Generation & Detection Services

Amazon Jobs; City of Edinburgh; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading technology company in the United Kingdom is seeking an experienced Applied Scientist to design and develop end-to-end systems. This role involves collaboration with diverse teams to create technical solutions and algorithms that enhance hiring processes. The ideal candidate will have a PhD or Master's degree with extensive experience in machine learning and programming in languages like Python, C++, and Java. Join us to leverage innovative technologies in transforming talent acquisition.

Qualifications

• PhD, or a Master's degree and experience building machine learning models.
• Experience designing experiments and conducting statistical analysis.
• Experience with deep learning frameworks or GenAI tools.

Responsibilities

• Design and develop end-to-end systems as an Applied Scientist.
• Write technical white papers and create technical roadmaps.
• Collaborate with cross-functional teams to solve complex problems.

Skills

Machine learning models

Algorithms development

Programming in Java

Programming in C++

Programming in Python

Statistical analysis

Deep learning frameworks

Data mining

Education

PhD or Master's degree in a related field

Master's degree or above in engineering

Job description

Overview

Do you want a role with deep meaning and the ability to make a major impact? As part of Intelligent Talent Acquisition (ITA), you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy for Amazon Talent Acquisition operations. ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more, all with the shared goal of connecting the right people to the right jobs in a way that is fair and precise. Last year we delivered over 6 million online candidate assessments, and helped Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of workers in the right quantity, at the right location and at exactly the right time. You’ll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms, leveraging Amazon\'s in-house tech stack to bring innovative solutions to life. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in people\'s lives. Together, we can solve the world\'s toughest hiring problems.

Key job responsibilities

• As an Applied Scientist, you will own the design and development of end-to-end systems. You’ll have the opportunity to write technical white papers, create technical roadmaps and drive production level projects that will support Amazon Science. You will have the opportunity to design new algorithms, models, or other technical solutions whilst experiencing Amazon’s customer focused culture. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.

About the team

The Lead Generation & Detection Services (LEGENDS) organization is a specialized organization focused on developing AI-driven solutions to enable fair and efficient talent acquisition processes across Amazon.

Our work encompasses capabilities across the entire talent acquisition lifecycle, including role creation, recruitment strategy, sourcing, candidate evaluation, and talent deployment. The focus is on utilizing state-of-the-art solutions using Deep Learning, Generative AI, and Large Language Models (LLMs) for recruitment at scale that can support immediate hiring needs as well as longer-term workforce planning for corporate roles.

We maintain a portfolio of capabilities such as job-person matching, person screening, duplicate profile detection, and automated applicant evaluation, as well as a foundational competency capability used throughout Amazon to help standardize the assessment of talent interested in Amazon.

Qualifications

• PhD, or a Master\'s degree and experience building machine learning models or developing algorithms for business application
• Master\'s degree or above in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
• Experience programming in Java, C++, Python or related language
• Have publications at top-tier peer-reviewed conferences or journals
• Experience in designing experiments and statistical analysis of results
• Experience in solving business problems through machine learning, data mining and statistical algorithms
• Experience with deep learning frameworks or GenAI tools

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.